A computational chemist, with organic synthesis background and ability to plan, coordinate projects and resources. In depth expertise in supporting drug discovery optimization programs via the development and application of virtual screening technologies such as structure-based and ligand-based pharmacophore models, docking calculations. In depth knowledge in 3D QSAR, homology modelling, ADME-Tox and virtual screening cascade. Identification and selection of in silico druggable target resulting from genetic associations. Identification and selection of druggable targets and development of target-based and phenotypic assays. Expertise in autoimmune diseases including multiple sclerosis and central nervous system diseases. In silico approaches have been applied to identify and optimize kinase inhibitors as potential anticancer agents, antifungal agents, sirtuin modulators and protein-protein inhibitors. Excellent ability to work as a team, organization, flexibility, punctuality and responsibility.